@nkeywal

zk, big data, realtime systems and machine learning. Apache HBase committer & PMC.

 Paris, France
blog.thislongrun.com
Joined June 2009
  • Tweets309
  • Following170
  • Followers971
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Nicolas Liochon retweeted
Jay Kreps
@jaykreps5 Aug 2015
Great article on stream processing by @takidau, one of people behind Google's stream processing engine Millwheel radar.oreilly.com/2015/08/th…
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Nicolas Liochon retweeted
Martin Thompson@mjpt7771 Aug 2015
It can now take longer in the Java NIO code than time on the physical network. We need to think differently about core libraries.
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Nicolas Liochon retweeted
Martin Thompson@mjpt77710 Jul 2015
Aeron 0.1 is available on Maven Central! Adds < 1μs on top of raw network latency and can do 20+ million 40 byte messages per second.
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Nicolas Liochon retweeted
Qarnot@Qarnot10 Jul 2015
Straight from NYC, Time Warner praises Qarnot after Cloud Innovation World Cup award, by @AdamBalkin >> ny1.com/nyc/all-boroughs/tec…
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Nicolas Liochon retweeted
Martin Kleppmann@martinkl8 Jul 2015
Replying to @PapersWeLoveLdn
My @PapersWeLoveLdn talk on Attita&Welch paper: Slides: martin.kleppmann.com/2015/07… Video: plus.google.com/events/cofng… Paper: courses.csail.mit.edu/6.852/…
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#Google #BigQuery - $80,000 per month. #AWS #Redshift - $300k+ per month. How? Cloud-native consumption pricing. googlecloudplatform.blogspot…
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Congrats! And good luck. xitter.cf/jaykreps/status/618766…
Jay Kreps
@jaykreps8 Jul 2015
Excited to announce that @ConfluentInc has raised a $24m series B round led by Index Ventures confluent.io/blog/confluent-…
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Nicolas Liochon retweeted
John Evdemon@jevdemon6 Jul 2015
Being partition tolerant is comfortable. You have to be Stonebraker to claim partition intolerance. Worth reading. j.mp/1KHA6dv
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My new post on the CA category in the CAP theorem. With some extra details from @eric_brewer himself! blog.thislongrun.com/2015/07…
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Nicolas Liochon retweeted
William Vambenepe@vambenepe6 Jul 2015
Thank you @cpswan for giving me a chance to explain the value of Big Data as a service in this @infoq interview: infoq.com/articles/Big-Data-…

Big Data as a Service, an Interview with Google's William Vambenepe

Many of the Big Data technologies in common use originated from Google and have become popular open source platforms, but now Google is bringing an increasing range of big data services to market as...

infoq.com
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A must read on @Hadapt strategy on /Presto and Open Source... blogs.teradata.com/data-poin… xitter.cf/daniel_abadi/status/61…
Daniel Abadi@daniel_abadi25 Jun 2015
New post from me on why we love #presto at @Hadapt / @Teradata blogs.teradata.com/data-poin…
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Nicolas Liochon retweeted
Jesse Yates@jesse_yates24 Jun 2015
Over a year since the originally coded, HDFS-6440 has been committed! 3+ NNs now possible on Hadoop 3.0.0+
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QUIC: A UDP-Based Secure and Reliable Transport for HTTP/2: tools.ietf.org/html/draft-ts…

QUIC: A UDP-Based Secure and Reliable Transport for HTTP/2

QUIC (Quick UDP Internet Connection) is a new multiplexed and secure transport atop UDP, designed from the ground up and optimized for HTTP/2 semantics. While built with HTTP/2 as the primary...

datatracker.ietf.org
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Nicolas Liochon retweeted
Jay Kreps
@jaykreps18 Jun 2015
Part 2 of my @cloudera post on Kafka is up vision.cloudera.com/apache-k…
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Nicolas Liochon retweeted
Jay Kreps
@jaykreps17 Jun 2015
Network locality being removed as a constraint has a lot of implications for data system design.
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Google network = 1pb/sec bisection bandwidth. googlecloudplatform.blogspot… – at San Francisco, CA
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Si vous être à Paris ce jeudi débute soirée, vous travaillez dans le domain du Java & HPC, venez a mon talk chez Octo meetup.com/fr/PerfUG/events/… – at Ealing, London
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Nicolas Liochon retweeted
Martin Kleppmann@martinkl14 Jun 2015
Modelling how database consistency models affect query latency blog.thislongrun.com/2015/06… by @nkeywal
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If CAP was real-time: adding timing requirements to CAP. When you really want to use CAP for network delays and GC! blog.thislongrun.com/2015/06…
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Nicolas Liochon retweeted
John Hugg@johnhugg12 Jun 2015
Want to know why #VoltDB architecture looks like it does? I finally wrote down the story: voltdb.com/products/reasons-…
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